Evidence map›Paper›PMID 34289534›Full record

ArticleImmunity, inflammation and disease2021

High-resolution HLA genotyping identifies alleles associated with severe COVID-19: A preliminary study from India.

Ravikanth Vishnubhotla, Mitnala Sasikala, Vijayasarathy Ketavarapu, Duvvur Nageshwar Reddy

Open access · goldAbstract read
In one paragraph

Article in Immunity, inflammation and disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Ravikanth VishnubhotlaAsian Healthcare Foundation/AIG Hospitals, Hyderabad, Telangana, India.ORCID 0000-0001-6970-0169
Mitnala SasikalaAsian Healthcare Foundation/AIG Hospitals, Hyderabad, Telangana, India.ORCID 0000-0002-3785-0530
Vijayasarathy KetavarapuAsian Healthcare Foundation/AIG Hospitals, Hyderabad, Telangana, India.
Duvvur Nageshwar ReddyAsian Healthcare Foundation/AIG Hospitals, Hyderabad, Telangana, India.ORCID 0000-0001-7540-0496
Asian Institute of Gastroenterology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHuman leukocyte antigen (HLA) variability has been demonstrated to be associated with susceptibility/severity of COVID-19. High-resolution HLA genotyping to identify alleles associated with severe COVID-19 in an Indian cohort was performed.

methodsQuantitative reverse-transcription polymerase chain reaction-confirmed SARS-CoV-2-positive patients with mild/moderate/severe disease (n = 54) and asymptomatic (n = 42) were recruited and genotyped for 11-HLA loci on MiSeq using NGSgo®-MX11-3 and analyzed (NGSengine; GenDx).

resultsA significant difference in alleles between the groups was identified for HLA-C*04:01:01:01, HLA-DRB5*01:01:01:02, HLA-DQA1*03:01:01:01, HLA-DPB1*04:01:01:41, and HLA-DPA1*01:03:01:02. Alleles namely, HLA-C*04:01:01:01 (OR: 5.71; 95% CI: 1.2-27.14; p = .02), HLA-DRB5*01:01:01:02 (OR: 2.94; 95% CI: 1.1-7.84; p = .03), DQA1*03:01:01:01 (OR: 22.47; 95% CI: 1.28-393.5; p = .03), HLA-DPB1*04:01:01:41 (OR: 9.44; 95% CI: 0.5-175.81; p = .13), and HLA-DPA1*01:03:01:02 (OR: 8.27; 95% CI: 2.26-30.21; p = .001) were associated with severe COVID-19.

conclusionGenotyping for these alleles will enable identification of individuals at risk of severe disease and stratification for preferential vaccination.

Indexed as

COVID-19AllelesGenotypeHLA AntigensHumansSARS-CoV-2HLA AntigensCOVID-19HLA genotypingSARS-CoV-2severe COVID-19vaccination

Identifiers

PMID34289534
PMCPMC8426675
OpenAlexW3183500407

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.